Recent advances in multimodal learning analytics show significant promise for addressing these challenges by combining multi-channel data streams from fully-instrumented exhibit spaces with multimodal machine learning techniques to model patterns in visitor experience data. We describe initial work on the creation of a multimodal learning analytics framework for investigating visitor engagement with a game-based interactive surface exhibit for science museums called Future Worlds.
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TEAM MEMBERS:
Jonathan RoweWookhee MinSeung LeeBradford MottJames Lester
resourceresearchMuseum and Science Center Exhibits
Multimodal models often utilize video data to capture learner behavior, but video cameras are not always feasible, or even desirable, to use in museums. To address this issue while still harnessing the predictive capacities of multimodal models, we investigate adversarial discriminative domain adaptation for generating modality-invariant representations of both unimodal and multimodal data captured from museum visitors as they engage with interactive science museum exhibits.
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TEAM MEMBERS:
Nathan HendersonWookhee MinAndrew EmersonJonathan RoweSeung LeeJames MinogueJames Lester
resourceresearchMuseum and Science Center Exhibits
Recent years have seen a growing interest in investigating visitor engagement in science museums with multimodal learning analytics. Visitor engagement is a multidimensional process that unfolds temporally over the course of a museum visit. In this paper, we introduce a multimodal trajectory analysis framework for modeling visitor engagement with an interactive science exhibit for environmental sustainability.
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TEAM MEMBERS:
Andrew EmersonNathan HendersonWookhee MinJonathan RoweJames MinogueJames Lester
resourceresearchMuseum and Science Center Exhibits
In this paper, we introduce a Bayesian hierarchical modeling framework for predicting learner engagement with Future Worlds, a tabletop science exhibit for environmental sustainability.
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TEAM MEMBERS:
Andrew EmersonNathan HendersonJonathan RoweWookhee MinSeung LeeJames MinogueJames Lester
resourceevaluationMuseum and Science Center Exhibits
This document presents the final evaluation report for the NSF-funded AISL project: "Multimodal Visitor Analytics: Investigating Naturalistic Engagement with Interactive Tabletop Science Exhibits."
In this paper, we investigate bias detection and mitigation techniques to address issues of
algorithmic fairness in multimodal models of museum visitor visual attention.
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TEAM MEMBERS:
Halim AcostaNathan HendersonJonathan RoweWookhee MinJames MinogueJames Lester
resourceresearchMuseum and Science Center Exhibits
This Smart and Connected Community (SCC) project will partner with two rural communities to develop STEMports, an innovative Science, Technology, Engineering and Mathematics (STEM) learning game for workforce development. The game's activities will take players on localized Augmented Reality (AR) missions to both engage in STEM learning challenges and discover emerging STEM careers in their community, specifically highlighting innovations in the fields of sustainable agriculture and aquaculture, forest products, and renewable energy. Community Advisory Teams (CATs) and co-design teams, including youth, representatives from the targeted emerging STEM economies, and decision-makers will partner with project staff to co-design STEMports that reflect the interests, cultural contexts, and envisioned STEM industries of the future for each community.
The project will: (a) design and pilot an AR game for community STEM workforce development; (b) develop and adapt a community engagement process that optimizes community networking for co-designing the gaming application and online community; and (c) advance a scalable process for wider applications of STEMports. This project is a collaboration between the Maine Mathematics and Science Alliance and the Field Day Lab at the University of Wisconsin-Madison to both build and research the co-designing of a SCC based within an AR environment. The project will contribute knowledge to the informal STEM learning, community development, and education technology fields in four major ways:
Deepening the understanding of how innovative technological tools support rural community STEM knowledge building as well as STEM identity and workforce interest.
Identifying design principles for co-designing the STEMports community related to the technological design process.
Developing social network approaches and analytics to better understand the social dimensions and community connections fostered by the STEMport community.
Understanding how participants' online and offline interactions with individuals and experiences builds networks and knowledge within a SCC.
With the scaling of use by an ever-growing community of players, STEMports will provide a new AR-based genre of public participation in STEM and collective decision making. The research findings will add to the emerging literature on community-wide education, innovative education technologies, informal STEM learning (especially place-based learning and STEM ecosystems), and participatory design research.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
The project will develop and research how an emerging technology, immersive virtual reality (IVR) using head mounted displays (HMDs), can enhance ocean literacy and generate empathy towards environmental issues. Recent advances in design have resulted in HMDs that provide viscerally realistic and immersive experiences that situate participants in underwater or other remote environments. IVR can provide many people with virtual access to these environments, including persons with disabilities, people living away from coastal areas, or those who lack access for other reasons (e.g., low-income families, underserved/underrepresented communities, persons untrained in diving). The project will develop a high quality 360-degree underwater film that includes live action footage, animation, and interactive elements. The IVR experience will take the participant through an immersive underwater journey of a Pacific reef, using realistic visualizations, narrative, and a compelling story to engage participants in learning the ecology and biology of coral reefs, as well as the impacts of climate change and human disturbances on ocean ecosystems. In addition to the IVR ocean journey, the project will integrate interactive functionality of being on a reef during mass coral spawning, an annual natural phenomenon through which coral reefs replenish their populations. With hand-held controllers, participants will be able to "swim" through the water, watch the degraded reef recover and grow and will have the ability to change the rate of coral recovery and learn how increases in temperature impede coral recovery. While research has been conducted on early, desk-top versions of IVR, the potential impact of IVR on learning is still unclear. The research findings will help guide the development of IVR for use in informal STEM environments such as aquariums, zoos, science museums, and others. The IVR experience will be shared on online platforms for home viewing, at film festivals and conferences, and in informal learning environments.
The project addresses the need for research on the impacts of IVR devices as it become more affordable and more widely used at home and in other informal and formal environments. Few studies have investigated how design elements impact the user in IVR, in which the increased immersion affects the stimuli perception and cognitive processing. The research will assess the learning affordances and impacts of the IVR experience on participant ocean literacy (adapting items from an existing ocean literacy survey), environmental empathy/feelings of presence (naturalistic observations and post-experience interviews), and perceived self-efficacy (pre-post survey, post-interview interviews). In addition, the project will research how segmentation (i.e., a continuous experience vs. an experience with breaks), generative learning tasks (hands-on experiences and interactive during IVR), and gender of the narrator in an IVR experience supports learning about ocean environments. Researchers will collect data from students attending high schools with predominantly minority student enrollments. Research findings will be widely shared through peer-reviewed publications, conference presentations, and publications for educators and designers.
This project is funded by the National Science Foundation's (NSF's) Advancing Informal STEM Learning (AISL) program, which supports innovative research, approaches, and resources for use in a variety of learning settings.
The Computational Thinking in Ecosystems (CT-E) project is funded by the STEM+Computing Partnership (STEM+C) program, which seeks to advance new approaches to, and evidence-based understanding of, the integration of computing in STEM teaching and learning. The project is a collaboration between the New York Hall of Science (NYSCI), Columbia University's Center for International Earth Science Information Network, and Design I/O. It will address the need for improved data, modeling and computational literacy in young people through development and testing of a portable, computer-based simulation of interactions that occur within ecosystems and between coupled natural and human systems; computational thinking skills are required to advance farther in the simulation. On a tablet computer at NYSCI, each participant will receive a set of virtual "cards" that require them to enter a computer command, routine or algorithm to control the behavior of animals within a simulated ecosystem. As participants explore the animals' simulated habitat, they will learn increasingly more complex strategies needed for the animal's survival, will use similar computational ideas and skills that ecologists use to model complex, dynamic ecological systems, and will respond to the effects of the ecosystem changes that they and other participants elicit through interaction with the simulated environment. Research on this approach to understanding interactions among species within biological systems through integration of computing has potential to advance knowledge. Researchers will study how simulations that are similar to popular collectable card game formats can improve computational thinking and better prepare STEM learners to take an interest in, and advance knowledge in, the field of environmental science as their academic and career aspirations evolve. The project will also design and develop a practical approach to programing complex models, and develop skills in communities of young people to exercise agency in learning about modeling and acting within complex systems; deepening learning in young people about how to work toward sustainable solutions, solve complex engineering problems and be better prepared to address the challenges of a complex, global society.
Computational Thinking in the Ecosystems (CT-E) will use a design-based study to prototype and test this novel, tablet-based collectable card game-like intervention to develop innovative practices in middle school science. Through this approach, some of the most significant challenges to teaching practice in the Next Generation Science Standards will be addressed, through infusing computational thinking into life science learning. CT-E will develop a tablet-based simulation representing six dynamic, interconnected ecosystems in which students control the behaviors of creatures to intervene in habitats to accomplish goals and respond to changes in the health of their habitat and the ecosystems of which they are a part. Behaviors of creatures in the simulation are controlled through the virtual collectable "cards", with each representing a computational process (such as sequences, loops, variables, conditionals and events). Gameplay involves individual players choosing a creature and habitat, formulating strategies and programming that creature with tactics in that habitat (such as finding food, digging in the ground, diverting water, or removing or planting vegetation) to navigate that habitat and survive. Habitats chosen by the participant are part of particular kinds of biomes (such as desert, rain forest, marshlands and plains) that have their own characteristic flora, fauna, and climate. Because the environments represent complex dynamic interconnected environmental models, participants are challenged to explore how these models work, and test hypotheses about how the environment will respond to their creature's interventions; but also to the creatures of other players, since multiple participants can collaborate or compete similar to commercially available collectable card games (e.g., Magic and Yu-Go-Oh!). NYSCI will conduct participatory design based research to determine impacts on structured and unstructured learning settings and whether it overcomes barriers to learning complex environmental science.